Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hajar Hasannejadasl"'
Autor:
Biche Osong, Hajar Hasannejadasl, Henk van der Poel, Ben Vanneste, Joep van Roermund, Katja Aben, Johan Van Soest, Inge Van Oort, Laura Hochstenbach, Esther J. Bloemen- van Gurp, Andre Dekker, Rianne R.R. Fijten
Publikováno v:
Technical Innovations & Patient Support in Radiation Oncology, Vol 31, Iss , Pp 100234- (2024)
Purpose: This study aims to develop and externally validate a clinically plausible Bayesian network structure to predict one-year erectile dysfunction in prostate cancer patients by combining expert knowledge with evidence from data using clinical an
Externí odkaz:
https://doaj.org/article/804d816115814588b4e120ff1255b4f3
Autor:
Cheryl Roumen, Hajar Hasannejadasl, Rachelle Swart, Daniela Raphael, Leonard Wee, Matthijs Sloep, Desiree H.J.G. van den Bongard, Helena Verkooijen, Salina Thijssen, Mirjam Velting, Maaike Schuurman, Nicola S. Russell, Rianne Fijten, Liesbeth J. Boersma
Publikováno v:
Breast, Vol 65, Iss , Pp 8-14 (2022)
Background and aim: The BRASA patient decision aid (BRASA-PtDA) facilitates shared decision making for breast cancer patients (BCPs) facing a radiotherapy treatment decision. During evaluations, patients indicated the wish for quantitative informatio
Externí odkaz:
https://doaj.org/article/b5dafe4ee9b347f194f88c2af48b8e96
Autor:
Hajar Hasannejadasl, Biche Osong, Inigo Bermejo, Henk van der Poel, Ben Vanneste, Joep van Roermund, Katja Aben, Zhen Zhang, Lambertus Kiemeney, Inge Van Oort, Renee Verwey, Laura Hochstenbach, Esther Bloemen, Andre Dekker, Rianne R. R. Fijten
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionUrinary incontinence (UI) is a common side effect of prostate cancer treatment, but in clinical practice, it is difficult to predict. Machine learning (ML) models have shown promising results in predicting outcomes, yet the lack of transp
Externí odkaz:
https://doaj.org/article/2e0e1daf156f42c09e16cded0cf2996f
Autor:
Hajar Hasannejadasl, Cheryl Roumen, Henk van der Poel, Ben Vanneste, Joep van Roermund, Katja Aben, Petros Kalendralis, Biche Osong, Lambertus Kiemeney, Inge Van Oort, Renee Verwey, Laura Hochstenbach, Esther J Bloemen-van Gurp, Andre Dekker, Rianne R R Fijten
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0276815 (2023)
While the 10-year survival rate for localized prostate cancer patients is very good (>98%), side effects of treatment may limit quality of life significantly. Erectile dysfunction (ED) is a common burden associated with increasing age as well as pros
Externí odkaz:
https://doaj.org/article/edb61ae054f2475f80f9efb949ea5445
Autor:
Shahabeddin Abhari, Sharareh R. Niakan Kalhori, Mehdi Ebrahimi, Hajar Hasannejadasl, Ali Garavand
Publikováno v:
Healthcare Informatics Research, Vol 25, Iss 4, Pp 248-261 (2019)
ObjectivesThe incidence of type 2 diabetes mellitus has increased significantly in recent years. With the development of artificial intelligence applications in healthcare, they are used for diagnosis, therapeutic decision making, and outcome predict
Externí odkaz:
https://doaj.org/article/b3cc47e39e0147179b90521dc72cdf88
Autor:
Anshu Ankolekar, Karina Dahl Steffensen, Karina Olling, Andre Dekker, Leonard Wee, Cheryl Roumen, Hajar Hasannejadasl, Rianne Fijten
Publikováno v:
PLoS ONE, Vol 16, Iss 11 (2021)
Introduction Shared decision-making (SDM) refers to the collaboration between patients and their healthcare providers to make clinical decisions based on evidence and patient preferences, often supported by patient decision aids (PDAs). This study ex
Externí odkaz:
https://doaj.org/article/61fa119427f44eb8b5481e47742186cf
Publikováno v:
JCO Clinical Cancer Informatics, 6
Contains fulltext : 287869.pdf (Publisher’s version ) (Open Access) Given the impact of health literacy (HL) on patients' outcomes, limited health literacy is a major barrier to improve cancer care globally. HL refers to the degree in which an indi
Autor:
Rianne Fijten, C. Roumen, Anshu Ankolekar, Andre Dekker, Karina Olling, Leonard Wee, Karina Dahl Steffensen, Hajar Hasannejadasl
Publikováno v:
Radiotherapy and Oncology, 170, S883-S884. Elsevier Ireland Ltd
PLoS ONE, Vol 16, Iss 11, p e0259844 (2021)
PLOS ONE, 16(11):0259844. Public Library of Science
PLoS ONE, Vol 16, Iss 11 (2021)
University of Southern Denmark
PLoS ONE
Ankolekar, A, Steffensen, K D, Olling, K, Dekker, A, Wee, L, Roumen, C, Hasannejadasl, H & Fijten, R 2021, ' Practitioners' views on shared decision-making implementation : A qualitative study ', PLOS ONE, vol. 16, no. 11, e0259844 . https://doi.org/10.1371/journal.pone.0259844
PLoS ONE, Vol 16, Iss 11, p e0259844 (2021)
PLOS ONE, 16(11):0259844. Public Library of Science
PLoS ONE, Vol 16, Iss 11 (2021)
University of Southern Denmark
PLoS ONE
Ankolekar, A, Steffensen, K D, Olling, K, Dekker, A, Wee, L, Roumen, C, Hasannejadasl, H & Fijten, R 2021, ' Practitioners' views on shared decision-making implementation : A qualitative study ', PLOS ONE, vol. 16, no. 11, e0259844 . https://doi.org/10.1371/journal.pone.0259844
Introduction Shared decision-making (SDM) refers to the collaboration between patients and their healthcare providers to make clinical decisions based on evidence and patient preferences, often supported by patient decision aids (PDAs). This study ex
Autor:
Mehdi Ebrahimi, Sharareh R. Niakan Kalhori, Shahabeddin Abhari, Ali Garavand, Hajar Hasannejadasl
Publikováno v:
Healthcare Informatics Research
Healthcare Informatics Research, Vol 25, Iss 4, Pp 248-261 (2019)
Healthcare Informatics Research, Vol 25, Iss 4, Pp 248-261 (2019)
Objectives The incidence of type 2 diabetes mellitus has increased significantly in recent years. With the development of artificial intelligence applications in healthcare, they are used for diagnosis, therapeutic decision making, and outcome predic